How to Audit Your Brand Across AI Agents in One Day
A one-day audit that separates AI answer checks, crawler access evidence, index status, and content accuracy.

A useful AI-agent audit separates four questions that are often mixed together: what assistants answer, what sources they cite, whether crawlers reach your site, and whether your published facts are accurate. Each needs different evidence.
Morning: define the questions
List the questions customers actually ask, then group them by intent: definition, problem, comparison, implementation, and risk. Keep the set small enough to inspect carefully and record the exact wording, model, date, and browsing state.
Midday: collect four evidence sets
- Answer evidence. Save the response and its conditions without treating it as a universal ranking.
- Citation evidence. Record the URLs the answer actually cites.
- Search evidence. Check index status and query demand in the relevant search console.
- Crawler evidence. Review identified crawler requests, source coverage, paths, and HTTP outcomes.
Afternoon: diagnose the gap
A missing mention can have many causes and is not proof of a block. A recorded 403 is an access problem. An incorrect description is a publishing problem. A cited competitor with stronger primary evidence is a content and authority problem.
Write the diagnosis in observable terms. Use unknown when the available source does not cover the question.
Turn findings into actions
Fix direct contradictions first, then technical access failures, then missing evidence pages. SearchSeal can help with the crawler-evidence portion by recording requests from connected infrastructure and identifying observed failures.
The audit is complete when every conclusion names its evidence source and no sampled answer, missing log, or uncovered period is presented as certainty.
Use a compact evidence table
For each finding, record the question, evidence type, source, time window, observation, limitation, and next action. This prevents a copied model answer from being reported as crawler behavior or a missing server row from being reported as zero activity.
The final audit should be short enough that another person can reproduce every conclusion without relying on the analyst's interpretation.